Advances in Artificial Intelligence for Plant Systems Biology

Advances in artificial intelligence (AI) have significantly transformed plant systems biology, providing novel tools to unravel complex biological processes and address pressing challenges in agriculture and ecology. This chapter highlights the pivotal role of AI in enhancing our understanding of plant genomics, gene networks, and regulatory systems. Applications such as AI-driven genome analysis, metabolic pathway modeling, and transcriptomics are elucidated to demonstrate their impact on decoding intricate biological interactions. Furthermore, the use of AI in high-throughput phenotyping and trait prediction has revolutionized the analysis of plant–environment interactions. By focusing on crop improvement, precision agriculture, and ecosystem studies, this chapter underscores the role of AI in sustainable food production and biodiversity conservation. While exploring the transformative potential of AI, the chapter also addresses inherent challenges, such as data limitations, model transparency, and ethical considerations. Concluding with future directions, it envisions the integration of advanced AI methodologies to further empower plant systems biology, paving the way for a resilient and sustainable agricultural landscape.